SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

Showing 65016550 of 15113 papers

TitleStatusHype
Covy: An AI-powered Robot with a Compound Vision System for Detecting Breaches in Social Distancing0
GriddlyJS: A Web IDE for Reinforcement Learning0
A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots0
Hindsight Learning for MDPs with Exogenous InputsCode0
Brick Tic-Tac-Toe: Exploring the Generalizability of AlphaZero to Novel Test EnvironmentsCode0
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks0
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games0
Reinforcement Learning Assisted Recursive QAOACode0
Policy Optimization with Sparse Global Contrastive Explanations0
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning0
Online Game Level Generation from MusicCode0
Towards Global Optimality in Cooperative MARL with the Transformation And Distillation Framework0
PAC Reinforcement Learning for Predictive State Representations0
Optimistic PAC Reinforcement Learning: the Instance-Dependent View0
Learning Bellman Complete Representations for Offline Policy EvaluationCode0
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning0
Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning0
Grounding Aleatoric Uncertainty for Unsupervised Environment Design0
Reinforcement Learningx2013Based Transient Response Shaping for Microgrids0
State Dropout-Based Curriculum Reinforcement Learning for Self-Driving at Unsignalized Intersections0
Deep Reinforcement Learning for Long-Term Voltage Stability Control0
Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents0
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning0
Safe reinforcement learning for multi-energy management systems with known constraint functions0
Reinforcement Learning for Distributed Transient Frequency Control with Stability and Safety Guarantees0
Vessel-following model for inland waterways based on deep reinforcement learning0
Stochastic optimal well control in subsurface reservoirs using reinforcement learningCode0
Robust optimal well control using an adaptive multi-grid reinforcement learning frameworkCode0
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems0
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning0
Evaluating Human-like Explanations for Robot Actions in Reinforcement Learning Scenarios0
gym-DSSAT: a crop model turned into a Reinforcement Learning environment0
Domain Adapting Deep Reinforcement Learning for Real-world Speech Emotion Recognition0
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning0
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design0
Inferring and Conveying Intentionality: Beyond Numerical Rewards to Logical Intentions0
Model Selection in Reinforcement Learning with General Function Approximations0
Reinforcement Learning Portfolio Manager Framework with Monte Carlo Simulation0
Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach0
Tackling Real-World Autonomous Driving using Deep Reinforcement Learning0
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set RegularizationCode0
Planning with RL and episodic-memory behavioral priors0
Decentralized scheduling through an adaptive, trading-based multi-agent system0
Deep Reinforcement Learning Approach for Trading Automation in The Stock Market0
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications0
AVDDPG: Federated reinforcement learning applied to autonomous platoon control0
General Policy Evaluation and Improvement by Learning to Identify Few But Crucial StatesCode0
Safe Reinforcement Learning via Confidence-Based Filters0
USHER: Unbiased Sampling for Hindsight Experience ReplayCode0
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse SkillsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76Unverified
2PPOMean Normalized Performance0.58Unverified